[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-2/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «A Call for Clarity in Reporting BLEU Scores» · page 2

# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 2

2102 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/post-2018-call-clarity-reporting-bleu-scores/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-16/) · [17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-17/) · [18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-18/) · [19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-19/) · [20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-20/) · [21](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-21/) · [22](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-22/)

1. [Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models](https://aclanthology.org/2025.loreslm-1.18/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
2. [Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation](https://aclanthology.org/2025.findings-acl.490/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
3. [CLIX: Cross-Lingual Explanations of Idiomatic Expressions](https://aclanthology.org/2025.findings-acl.233/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
4. [COCO-Urdu: A Large-Scale Urdu Image-Caption Dataset with Multimodal Quality Estimation](https://arxiv.org/abs/2509.09014) *— 2025 · arXiv:2509.09014*
5. [CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation](https://aclanthology.org/2025.findings-emnlp.1220/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
6. [Can Large Language Models Translate Unseen Languages in Underrepresented Scripts?](https://aclanthology.org/2025.emnlp-main.1179/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
7. [Conditions for Catastrophic Forgetting in Multilingual Translation](https://aclanthology.org/2025.mrl-main.23/) *— 2025 · Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)*
8. [Context-Aware or Context-Insensitive? Assessing LLMs' Performance in Document-Level Translation](https://aclanthology.org/2025.mtsummit-1.10/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
9. [Continual Learning in Multilingual Sign Language Translation](https://aclanthology.org/2025.naacl-long.546/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
10. [Contrastive Learning for Task-Independent SpeechLLM-Pretraining](https://aclanthology.org/2025.findings-acl.445/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
11. [Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models](https://aclanthology.org/2025.iwslt-1.8/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
12. [Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization](https://aclanthology.org/2025.wmt-1.2/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
13. [Crosslingual Optimized Metric for Translation Assessment of Indian Languages](https://arxiv.org/abs/2509.17667) *— 2025 · arXiv:2509.17667*
14. [DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation](https://aclanthology.org/2025.emnlp-main.309/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
15. [DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment](https://aclanthology.org/2025.wmt-1.11/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
16. [D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation](https://arxiv.org/abs/2504.11829) *— 2025 · arXiv:2504.11829*
17. [Definition Generation for Word Meaning Modeling: Monolingual, Multilingual, and Cross-Lingual Perspectives](https://aclanthology.org/2025.emnlp-main.1321/) *— 2025 · EMNLP 2025 (Suzhou)*
18. [Detect, Disambiguate, and Translate: On-Demand Visual Reasoning for Multimodal Machine Translation with Large Vision-Language Models](https://aclanthology.org/2025.naacl-long.74/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
19. [Detoxify-IT: An Italian Parallel Dataset for Text Detoxification](https://aclanthology.org/2025.woah-1.24/) *— 2025 · Proceedings of the The 9th Workshop on Online Abuse and Harms (WOAH)*
20. [DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://aclanthology.org/2025.cl-2.1/) *— 2025 · Computational Linguistics*
21. [Dial2MSA-Verified: A Multi-Dialect Arabic Social Media Dataset for Neural Machine Translation to Modern Standard Arabic](https://aclanthology.org/2025.wacl-1.6/) *— 2025 · Proceedings of the 4th Workshop on Arabic Corpus Linguistics (WACL-4)*
22. [Dialectal and Low Resource Machine Translation for Aromanian](https://aclanthology.org/2025.coling-main.481/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
23. [Distilling an End-to-End Voice Assistant Without Instruction Training Data](https://aclanthology.org/2025.acl-long.388/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Don''t Teach Minerva": Guiding LLMs Through Complex Syntax for Faithful Latin Translation with RAG](https://arxiv.org/abs/2511.01454) *— 2025 · arXiv:2511.01454*
25. [Effects of automatic alignment on speech translation metrics](https://aclanthology.org/2025.iwslt-1.7/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
26. [Efficient Speech Translation through Model Compression and Knowledge Distillation](https://arxiv.org/abs/2505.20237) *— 2025 · arXiv:2505.20237 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
27. [Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation](https://aclanthology.org/2025.alp-1.9/) *— 2025 · Proceedings of the Second Workshop on Ancient Language Processing*
28. [Evaluating Large Language Models with Enterprise Benchmarks](https://aclanthology.org/2025.naacl-industry.40/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)*
29. [Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive Analysis](https://arxiv.org/abs/2502.11544) *— 2025 · arXiv:2502.11544*
30. [Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader](https://aclanthology.org/2025.wmt-1.79/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
31. [FLEURS-ASL: Including American Sign Language in Massively Multilingual Multitask Evaluation](https://aclanthology.org/2025.naacl-long.314/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
32. [Findings of WAT2025 English-to-Indic Multimodal Translation Task](https://aclanthology.org/2025.wat-1.10/) *— 2025 · Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)*
33. [Findings of the IWSLT 2025 Evaluation Campaign](https://aclanthology.org/2025.iwslt-1.44/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
34. [Findings of the WAT 2025 Shared Task on Japanese-English Article-level News Translation](https://aclanthology.org/2025.wat-1.8/) *— 2025 · Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)*
35. [Findings of the WMT 2025 Shared Task LLMs with Limited Resources for Slavic Languages: MT and QA](https://aclanthology.org/2025.wmt-1.27/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
36. [Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets](https://aclanthology.org/2025.wmt-1.22/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
37. [Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation](https://aclanthology.org/2025.wmt-1.23/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
38. [Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help](https://aclanthology.org/2025.wmt-1.24/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
39. [Findings of the WMT25 Terminology Translation Task: Terminology is Useful Especially for Good MTs](https://aclanthology.org/2025.wmt-1.30/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
40. [Fine-tuning Whisper on Low-Resource Languages for Real-World Applications](https://aclanthology.org/2025.swisstext-1.5/) *— 2025 · Proceedings of the 10th edition of the Swiss Text Analytics Conference*
41. [Fine-tuning and evaluation of NMT models for literary texts using RomCro v.2.0](https://aclanthology.org/2025.ctt-1.4/) *— 2025 · Proceedings of the Second Workshop on Creative-text Translation and Technology (CTT)*
42. [FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture](https://aclanthology.org/2025.findings-emnlp.173/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
43. [From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge](https://aclanthology.org/2025.emnlp-main.138/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
44. [From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation](https://aclanthology.org/2025.coling-main.472/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
45. [From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.20/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
46. [From Tower to Spire: Adding the Speech Modality to a Translation-Specialist LLM](https://aclanthology.org/2025.findings-emnlp.1071/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
47. [GMU Systems for the IWSLT 2025 Low-Resource Speech Translation Shared Task](https://aclanthology.org/2025.iwslt-1.29/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
48. [GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns](https://aclanthology.org/2025.findings-acl.411/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
49. [Generative Error Correction for Emotion-aware Speech-to-text Translation](https://aclanthology.org/2025.findings-acl.1047/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
50. [GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models](https://aclanthology.org/2025.emnlp-demos.43/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
51. [Going Beyond Your Expectations in Latency Metrics for Simultaneous Speech Translation](https://aclanthology.org/2025.findings-acl.937/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
52. [GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning](https://aclanthology.org/2025.acl-long.1447/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [Hit the Sweet Spot! Span-Level Ensemble for Large Language Models](https://aclanthology.org/2025.coling-main.555/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
54. [How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs](https://aclanthology.org/2025.naacl-long.548/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
55. [How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain Machine Translation](https://arxiv.org/abs/2505.19987) *— 2025 · arXiv:2505.19987*
56. [How to Evaluate Speech Translation with Source-Aware Neural MT Metrics](https://arxiv.org/abs/2511.03295) *— 2025 · arXiv:2511.03295*
57. [How well do LLMs reason over tabular data, really?](https://aclanthology.org/2025.trl-1.21/) *— 2025 · Proceedings of the 4th Table Representation Learning Workshop*
58. [Human–LLM Benchmarks for Bangla Dialect Translation: Sylheti and Chittagonian on the BanglaCHQ-Summ Corpus](https://aclanthology.org/2025.banglalp-1.18/) *— 2025 · Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)*
59. [Improve Fluency Of Neural Machine Translation Using Large Language Models](https://aclanthology.org/2025.mtsummit-1.5/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
60. [In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation](https://aclanthology.org/2025.findings-naacl.68/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
61. [InImageTrans: Multimodal LLM-based Text Image Machine Translation](https://aclanthology.org/2025.findings-acl.1039/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
62. [Incorporating Target Fuzzy Matches into Neural Fuzzy Repair](https://aclanthology.org/2025.nodalida-1.44/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
63. [Inductive Linguistic Reasoning with Large Language Models](https://aclanthology.org/2025.findings-acl.1171/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
64. [InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model](https://aclanthology.org/2025.findings-acl.157/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
65. [Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation](https://aclanthology.org/2025.bea-1.63/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
66. [Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn''t Help with MT Evaluation](https://aclanthology.org/2025.mtsummit-1.20/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
67. [Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training](https://aclanthology.org/2025.findings-acl.575/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
68. [Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models](https://aclanthology.org/2025.naacl-long.485/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
69. [Just Go Parallel: Improving the Multilingual Capabilities of Large Language Models](https://aclanthology.org/2025.acl-long.1602/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [LITERA: An LLM Based Approach to Latin-to-English Translation](https://aclanthology.org/2025.findings-naacl.434/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
71. [LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding](https://aclanthology.org/2025.findings-acl.1207/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
72. [LLMs for Extremely Low-Resource Finno-Ugric Languages](https://aclanthology.org/2025.findings-naacl.373/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
73. [Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark](https://aclanthology.org/2025.emnlp-main.1018/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
74. [Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual Translation](https://aclanthology.org/2025.mtsummit-1.7/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
75. [Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages](https://aclanthology.org/2025.naacl-long.312/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
76. [Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis](https://aclanthology.org/2025.findings-naacl.210/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
77. [Latent Inter-User Difference Modeling for LLM Personalization](https://aclanthology.org/2025.emnlp-main.536/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
78. [Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole](https://aclanthology.org/2025.loresmt-1.17/) *— 2025 · Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)*
79. [Low-Resource Language Expansion and Translation Capacity Enhancement for LLM: A Study on the Uyghur](https://aclanthology.org/2025.coling-main.559/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
80. [MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants](https://aclanthology.org/2025.wmt-1.69/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
81. [MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning](https://aclanthology.org/2025.findings-emnlp.1015/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
82. [MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables](https://aclanthology.org/2025.acl-long.1128/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation](https://aclanthology.org/2025.acl-long.1289/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [Making Knowledge Accessible: Divergent Readability-Accuracy Strategies of Mistral and QWen in Biomedical Text Simplification](https://arxiv.org/abs/2511.05080) *— 2025 · arXiv:2511.05080*
85. [Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization](https://aclanthology.org/2025.findings-acl.1095/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
86. [Metaphors in Literary Machine Translation: Close but no cigar?](https://aclanthology.org/2025.mtsummit-1.21/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
87. [Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs](https://aclanthology.org/2025.acl-long.778/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [MilaNLP@Multilingual Counterspeech Generation: Evaluating Translation and Background Knowledge Filtering](https://aclanthology.org/2025.mcg-1.7/) *— 2025 · Proceedings of the First Workshop on Multilingual Counterspeech Generation*
89. [MuCAL: Contrastive Alignment for Preference-Driven KG-to-Text Generation](https://aclanthology.org/2025.emnlp-main.720/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
90. [Multilingual Definition Modeling](https://aclanthology.org/2025.findings-acl.1328/) *— 2025 · Findings of ACL 2025 (Vienna)*
91. [Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study](https://aclanthology.org/2025.naacl-long.280/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
92. [Multilingual and Explainable Text Detoxification with Parallel Corpora](https://aclanthology.org/2025.coling-main.535/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
93. [NAVER LABS Europe Submission to the Instruction-following Track](https://aclanthology.org/2025.iwslt-1.17/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
94. [NHK Submission to WAT 2025: Leveraging Preference Optimization for Article-level Japanese–English News Translation](https://aclanthology.org/2025.wat-1.9/) *— 2025 · Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)*
95. [NYA's Offline Speech Translation System for IWSLT 2025](https://aclanthology.org/2025.iwslt-1.19/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
96. [Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models](https://aclanthology.org/2025.findings-acl.403/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
97. [OJ4OCRMT: A Large Multilingual Dataset for OCR-MT Evaluation](https://aclanthology.org/2025.mtsummit-1.9/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
98. [OpusDistillery: A Configurable End-to-End Pipeline for Systematic Multilingual Distillation of Open NMT Models](https://aclanthology.org/2025.nodalida-1.20/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
99. [Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review](https://arxiv.org/abs/2505.04531) *— 2025 · arXiv:2505.04531*
100. [PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages](https://aclanthology.org/2025.acl-long.1451/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-16/) · [17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-17/) · [18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-18/) · [19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-19/) · [20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-20/) · [21](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-21/) · [22](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-22/)

- [← previous Who cites «A Call for Clarity in Reporting BLEU Scores» · page 19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-19/)
- [next → Who cites «A Call for Clarity in Reporting BLEU Scores» · page 20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-20/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)